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Prompt course · 8 lessons · 28 prompts · 1 hour · Beginner

AI for Demand Planners

This prompt course walks you through eight lessons built for demand planners. You will practice cleaning forecast data, planning promotions, setting safety stock, and explaining changes to procurement and leadership.

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What you'll learn

  • Clean sales data: Use AI to spot gaps, fix formats, and shape historical sales into a clean starting point for your forecast.
  • Choose forecast methods: Ask AI to compare simple methods, document your assumptions, and turn the numbers into a demand story you can explain.
  • Plan promotions: Estimate promotional lift, adjust your forecast, and write down the event assumptions in one place.
  • Set safety stock: Calculate safety stock, set reorder rules, and simulate what happens when demand or lead times change.
  • Review accuracy: Measure forecast error, spot bias, and draft a review that explains what changed and why.
  • Prepare S&OP: Get ready for S&OP meetings by summarizing risks and aligning demand with supply teams.
  • Draft updates: Write clear forecast updates and explain demand changes to procurement and suppliers.
  • Run scenarios: Build scenario models, stress-test your assumptions, and brief executives on demand uncertainty.

What's inside

8 lessons · 28 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits demand planning: define role, action, context, and expected forecast accuracy when asking AI to adjust next quarter's SKU forecast.
  2. Start here Priya's Wednesday, two waysA day in the life of a Demand Planner, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Forecast Data Preparation
  4. 02 Lesson 2 · 3 prompts Demand Forecasting Basics
  5. 03 Lesson 3 · 3 prompts Promotion And Event Planning
  6. 04 Lesson 4 · 7 prompts Inventory And Safety Stock
  7. 05 Lesson 5 · 3 prompts Forecast Accuracy Review
  8. 06 Lesson 6 · 3 prompts Supply Chain Collaboration
  9. 07 Lesson 7 · 3 prompts Procurement Communication
  10. 08 Lesson 8 · 3 prompts Advanced Scenario Planning

About this course

7 topics

Prompts for demand planners, from data to decisions

This course is a set of prompts you can use with ChatGPT, Claude, or Gemini. Each prompt is designed for a real demand planning task, like cleaning sales history, choosing a forecast method, or writing a clear update for procurement.

You will learn how to give the AI the right context, check its work, and turn its output into something you can share. The lessons build on each other, so you can start at the beginning and work through at your own speed.

  1. The lessons
    1. Forecast Data Preparation: Use AI to clean, interpret, and shape historical sales data before you build a demand forecast.
    2. Demand Forecasting Basics: Use AI to choose forecasting methods, document assumptions, and turn numbers into a clear demand story.
    3. Promotion And Event Planning: Use AI to estimate promotional lift, adjust forecasts, and document event assumptions.
    4. Inventory And Safety Stock: Use AI to calculate safety stock, set reorder rules, and simulate inventory trade-offs.
    5. Forecast Accuracy Review: Use AI to measure forecast error, spot bias, and write a review that explains what changed.
    6. Supply Chain Collaboration: Use AI to prepare S&OP discussions, summarize risks, and align demand with supply teams.
    7. Procurement Communication: Use AI to draft clear forecast updates and explain demand changes to procurement and suppliers.
    8. Advanced Scenario Planning: Use AI to build scenario models, stress-test assumptions, and brief executives on demand uncertainty.
  2. What this course covers

    The course follows the eight lessons listed above, from preparing forecast data to advanced scenario planning. Each lesson gives you prompts you can copy and use right away. You will work with sample data so you can practice without touching sensitive company information.

  3. How the lessons connect

    The lessons are ordered to match the way demand planning actually flows. You start by cleaning data, then choose a forecast method, then plan for promotions, set inventory rules, review accuracy, and share your plan with others. Later lessons, like procurement communication and scenario planning, build on the work you did earlier.

  4. Using the prompts well

    A good prompt gives the AI context: your product, time frame, past sales, and what you need. You will learn to ask for a specific format, like a table or a short summary, and to tell the AI what to leave out. Always check the AI's numbers against your own records before you share them.

  5. Who this course is for

    This course is for demand planners, supply chain analysts, and anyone who builds or reviews a demand forecast. You do not need to be technical. If you work with sales data and supply plans, these prompts will fit your day.

  6. Safety and privacy for this job

    Your company may have rules about what data can go into an AI tool. Use sample data when you practice, and turn off any setting that lets the AI train on your conversations. The course shows you how to keep product names, customer details, and pricing safe while still getting useful help.

  7. Your next step

    Pick one lesson that matches a task you have this week. Copy the prompt, run it with your own sample data, and see what the AI gives you. Then adjust the prompt to fit your style and save it for next time.